mcp_omni_connect

<p align="center"> <img src="assets/IMG_5292.jpeg" alt="OmniCoreAgent Logo" width="250"/> </p> <h1 align="center">🚀 OmniCoreAgent</h1> <p align="center"> <strong>The AI Agent Framework Built for Production</strong><br> <em>Switch memory backends at runtime. Manage context automatically. Deploy with confidence.</em> </p> <p align="center"> <a href="https://pepy.tech/projects/omnicoreagent"><img src="https://static.pepy.tech/badge/omnicoreagent" alt="PyPI Downloads"></a> <a href="https://badge.fury.io/py/omnicoreagent"><img src="https://badge.fury.io/py/omnicoreagent.svg" alt="PyPI version"></a> <a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="Python Version"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-green.svg" alt="License"></a> </p> <p align="center"> <a href="#-quick-start">Quick Start</a> • <a href="#-see-it-in-action">See It In Action</a> • <a href="./cookbook">📚 Cookbook</a> • <a href="#-core-features">Features</a> • <a href="https://docs-omnicoreagent.omnirexfloralabs.com/docs">Docs</a> </p> --- ## 🎬 See It In Action ```python import asyncio from omnicoreagent import OmniCoreAgent, MemoryRouter, ToolRegistry # Create tools in seconds tools = ToolRegistry() @tools.register_tool("get_weather") def get_weather(city: str) -> dict: """Get current weather for a city.""" return {"city": city, "temp": "22°C", "condition": "Sunny"} # Build a production-ready agent agent = OmniCoreAgent( name="assistant", system_instruction="You are a helpful assistant with access to weather data.", model_config={"provider": "openai", "model": "gpt-4o"}, local_tools=tools, memory_router=MemoryRouter("redis"), # Start with Redis agent_config={ "context_management": {"enabled": True}, # Auto-manage long conversations "guardrail_config": {"strict_mode": True}, # Block prompt injections } ) async def main(): # Run the agent result = await agent.run("What's the weather in Tokyo?") print(result["response"]) # Switch to MongoDB at runtime — no restart needed await agent.switch_memory_store("mongodb") # Keep running with a different backend result = await agent.run("How about Paris?") print(result["response"]) asyncio.run(main()) ``` **What just happened?** - ✅ Registered a custom tool with type hints - ✅ Built an agent with memory persistence - ✅ Enabled automatic context management - ✅ Switched from Redis to MongoDB *while running* --- ## ⚡ Quick Start ```bash pip install omnicoreagent ``` ```bash echo "LLM_API_KEY=your_api_key" > .env ``` ```python from omnicoreagent import OmniCoreAgent agent = OmniCoreAgent( name="my_agent", system_instruction="You are a helpful assistant.", model_config={"provider": "openai", "model": "gpt-4o"} ) result = await agent.run("Hello!") print(result["response"]) ``` **That's it.** You have an AI agent with session management, memory, and error handling. > 📚 **Want to learn more?** Check out the [Cookbook](./cookbook) — progressive examples from "Hello World" to production deployments. --- ## 🎯 What Makes OmniCoreAgent Different? | Feature | What It Means For You | |---------|----------------------| | **Runtime Backend Switching** | Switch Redis ↔ MongoDB ↔ PostgreSQL without restarting | | **Cloud Workspace Storage** | Agent files persist in AWS S3 or Cloudflare R2 ⚡ NEW | | **Context Engineering** | Session memory + agent loop context + tool offloading = no token exhaustion | | **Tool Response Offloading** | Large tool outputs saved to files, 98% token savings | | **Built-in Guardrails** | Prompt injection protection out of the box | | **MCP Native** | Connect to any MCP server (stdio, SSE, HTTP with OAuth) | | **Background Agents** | Schedule autonomous tasks that run on intervals | | **Workflow Orchestration** | Sequential, Parallel, and Router agents for complex tasks | | **Production Observability** | Metrics, tracing, and event streaming built in | --- ## 🎯 Core Features > 📖 **Full documentation**: [docs-omnicoreagent.omnirexfloralabs.com/docs](https://docs-omnicoreagent.omnirexfloralabs.com/docs) | # | Feature | Description | Docs | |---|---------|-------------|------| | 1 | **OmniCoreAgent** | The heart of the framework — production agent with all features | [Overview →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/overview) | | 2 | **Multi-Tier Memory** | 5 backends (Redis, MongoDB, PostgreSQL, SQLite, in-memory) with runtime switching | [Memory →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/memory) | | 3 | **Context Engineering** | Dual-layer system: agent loop context management + tool response offloading | [Context →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/context-engineering) | | 4 | **Event System** | Real-time event streaming with runtime switching | [Events →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/events) | | 5 | **MCP Client** | Connect to any MCP server (stdio, streamable_http, SSE) with OAuth | [MCP →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/mcp) | | 6 | **DeepAgent** | Multi-agent orchestration with automatic task decomposition | [DeepAgent →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/deep-agent) | | 7 | **Local Tools** | Register any Python function as an AI tool via ToolRegistry | [Local Tools →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/local-tools) | | 8 | **Community Tools** | 100+ pre-built tools (search, AI, comms, databases, DevOps, finance) | [Community Tools →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/community-tools) | | 9 | **Agent Skills** | Polyglot packaged capabilities (Python, Bash, Node.js) | [Skills →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/skills) | | 10 | **Workspace Memory** | Persistent file storage with S3/R2/Local backends | [Workspace →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/workspace-memory) | | 11 | **Sub-Agents** | Delegate tasks to specialized agents | [Sub-Agents →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/sub-agents) | | 12 | **Background Agents** | Schedule autonomous tasks on intervals | [Background →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/background-agents) | | 13 | **Workflows** | Sequential, Parallel, and Router agent orchestration | [Workflows →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/workflows) | | 14 | **BM25 Tool Retrieval** | Auto-discover relevant tools from 1000+ using BM25 search | [Advanced Tools →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/how-to-guides/advanced-tools) | | 15 | **Guardrails** | Prompt injection protection with configurable sensitivity | [Guardrails →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/core-concepts/guardrails) | | 16 | **Observability** | Per-request metrics + Opik distributed tracing | [Observability →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/how-to-guides/observability) | | 17 | **Universal Models** | 9 providers via LiteLLM (OpenAI, Anthropic, Gemini, Groq, Ollama, etc.) | [Models →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/how-to-guides/models) | | 18 | **OmniServe** | Turn any agent into a production REST/SSE API with one command | [OmniServe →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/how-to-guides/omniserve) | --- ## 📚 Examples & Cookbook All examples are in the **[Cookbook](./cookbook)** — organized by use case with progressive learning paths. | Category | What You'll Build | Location | |----------|-------------------|----------| | **Getting Started** | Your first agent, tools, memory, events | [cookbook/getting_started](./cookbook/getting_started) | | **Workflows** | Sequential, Parallel, Router agents | [cookbook/workflows](./cookbook/workflows) | | **Background Agents** | Scheduled autonomous tasks | [cookbook/background_agents](./cookbook/background_agents) | | **Production** | Metrics, guardrails, observability | [cookbook/production](./cookbook/production) | | **🏆 Showcase** | Full production applications | [cookbook/showcase](./cookbook/showcase) | ### 🏆 Showcase: Full Production Applications | Application | Description | Features | |-------------|-------------|----------| | **[OmniAudit](./cookbook/showcase/omniavelis)** | Healthcare Claims Audit System | Multi-agent pipeline, ERISA compliance | | **[DevOps Copilot](./cookbook/showcase/devops_copilot_agent)** | AI-Powered DevOps Automation | Docker, Prometheus, Grafana | | **[Deep Code Agent](./cookbook/showcase/deep_code_agent)** | Code Analysis with Sandbox | Sandbox execution, session management | --- ## ⚙️ Configuration ### Environment Variables ```bash # Required LLM_API_KEY=your_api_key # Optional: Memory backends REDIS_URL=redis://localhost:6379/0 DATABASE_URL=postgresql://user:pass@localhost:5432/db MONGODB_URI=mongodb://localhost:27017/omnicoreagent # Optional: Observability OPIK_API_KEY=your_opik_key OPIK_WORKSPACE=your_workspace ``` ### Agent Configuration ```python agent_config = { "max_steps": 15, # Max reasoning steps "tool_call_timeout": 30, # Tool timeout (seconds) "request_limit": 0, # 0 = unlimited "total_tokens_limit": 0, # 0 = unlimited "memory_config": {"mode": "sliding_window", "value": 10000}, "enable_advanced_tool_use": True, # BM25 tool retrieval "enable_agent_skills": True, # Specialized packaged skills "memory_tool_backend": "local" # Persistent working memory } ``` > 📖 **Full configuration reference**: [Configuration Guide →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/how-to-guides/configuration) --- ## 🧪 Testing & Development ```bash # Clone git clone https://github.com/omnirexflora-labs/omnicoreagent.git cd omnicoreagent # Setup uv venv && source .venv/bin/activate uv sync --dev # Test pytest tests/ -v pytest tests/ --cov=src --cov-report=term-missing ``` --- ## 🔍 Troubleshooting | Error | Fix | |-------|-----| | `Invalid API key` | Check `.env`: `LLM_API_KEY=your_key` | | `ModuleNotFoundError` | `pip install omnicoreagent` | | `Redis connection failed` | Start Redis or use `MemoryRouter("in_memory")` | | `MCP connection refused` | Ensure MCP server is running | > 📖 **More troubleshooting**: [Basic Usage Guide →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/how-to-guides/basic-usage) --- ## 📝 Changelog See the full [Changelog →](https://docs-omnicoreagent.omnirexfloralabs.com/docs/changelog) for version history. --- ## 🤝 Contributing ```bash # Fork & clone git clone https://github.com/omnirexflora-labs/omnicoreagent.git # Setup uv venv && source .venv/bin/activate uv sync --dev pre-commit install # Submit PR ``` See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines. --- ## 📄 License MIT License — see [LICENSE](LICENSE) --- ## 👨‍💻 Author & Credits **Created by [Abiola Adeshina](https://github.com/Abiorh001)** - **GitHub**: [@Abiorh001](https://github.com/Abiorh001) - **X (Twitter)**: [@abiorhmangana](https://x.com/abiorhmangana) - **Email**: abiolaadedayo1993@gmail.com ### 🌟 The OmniRexFlora Ecosystem | Project | Description | |---------|-------------| | [🧠 OmniMemory](https://github.com/omnirexflora-labs/omnimemory) | Self-evolving memory for autonomous agents | | [🤖 OmniCoreAgent](https://github.com/omnirexflora-labs/omnicoreagent) | Production-ready AI agent framework (this project) | | [⚡ OmniDaemon](https://github.com/omnirexflora-labs/OmniDaemon) | Event-driven runtime engine for AI agents | ### 🙏 Acknowledgments Built on: [LiteLLM](https://github.com/BerriAI/litellm), [FastAPI](https://fastapi.tiangolo.com/), [Redis](https://redis.io/), [Opik](https://opik.ai/), [Pydantic](https://pydantic-docs.helpmanual.io/), [APScheduler](https://apscheduler.readthedocs.io/) --- <p align="center"> <strong>Building the future of production-ready AI agent frameworks</strong> </p> <p align="center"> <a href="https://github.com/omnirexflora-labs/omnicoreagent">⭐ Star us on GitHub</a> • <a href="https://github.com/omnirexflora-labs/omnicoreagent/issues">🐛 Report Bug</a> • <a href="https://github.com/omnirexflora-labs/omnicoreagent/issues">💡 Request Feature</a> • <a href="https://docs-omnicoreagent.omnirexfloralabs.com/docs">📖 Documentation</a> </p>